Joon Young Lee

Joon Young Lee

Industrial Engineering Manager @ Intel

About

Test R&D Engineer

Country

United States

City

Hillsboro

Industry

Mechanical Or Industrial Engineering

Skill

Microsoft Office, Matlab, Solidworks, Microsoft Excel, Engineering, CAD, C++, ANSYS Fluent, ANSYS CFX, ICEMCFD, Gambit, C, SigmaPlot, Minitab, SAP BusinessObjects, JMP, ANSYS, Manufacturing, Research, Semiconductors

Experience

Intel

Industrial Engineering Manager

Intel

LinkedIn
2023-11 - Present · 2 yrs 11 mos

Hillsboro, Oregon, United States

Intel

Engineering TD manager

Intel

LinkedIn
2022-1 - 2023-12 · 2 yrs

Hillsboro, Oregon, United States

Intel

Test R&D Engineer

Intel

LinkedIn
2016-1 - 2022-1 · 6 yrs 1 mo

Aloha, Oregon

-Behavioral traits include good communication skills, self-driven initiative in a fast-paced engineering challenge environment, integrity in work, good teamwork spirit, leadership, strong technical problem solving capability, and paying attention to detail.

Quartz Engineering

Mechanical Engineer

Quartz Engineering

2015-8 - 2016-1 · 6 mos

Tempe, Arizona

Arizona State University

Graduate Service Assistant

Arizona State University

LinkedIn
2014-8 - 2015-8 · 1 yr 1 mo

Tempe

Taught 80 junior to senior undergrads' thermal fluid class (Thermodynamic cycles, Heat Transfer, Fluid Statics)

Arizona State University

PHD

Arizona State University

LinkedIn
2010-8 - 2015-8 · 5 yrs 1 mo

Dissertation Title: Optimization of complex thermal-fluid processes Teaching, as an TA, Engineering Statics/Dynamics recitations, Engineering Control and Design laboratories, Fluid Dynamics. Teaching for Thermodynamics, Thermal Fluids 1 & 2 classes

Samsung Electronics

Intern

Samsung Electronics

LinkedIn
2006-6 - 2006-8 · 3 mos

Kiheung, S. Korea

•Development of demand-lot pegging algorithm in a wafer fabrication facility •Review of monitoring a fabrication line by statistical process control (EWMA)

Education

Arizona State University

Arizona State University

LinkedIn

Mechanical Engineering

2010 - 2015 · 5 yrs

To obtain an optimal trade-off between the multi-objectives in engineering applications, characterization of the system is the necessary step to achieve the original purpose. Efficient achievements through various approaches are sought. To devise the best way as well as to save precious resources simultaneously, optimization is pursued with different depths in magnitude.

Arizona State University

Arizona State University

LinkedIn

Industrial Engineering

Modeling and Analysis of Semiconductor Manufacturing Stochastic Modeling Supply Chain Analysis Production Planning and Modeling / Inventory Control Scheduling Discrete Event Simulation

Joon Young Lee's Contact Information

Email

******@***.com

Phone

(**) *** ****

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